Prediction of the potential distribution of Chimonobambusautilis (Poaceae, Bambusoideae) in China, based on the MaxEnt model.

IF 1 4区 环境科学与生态学 Q3 BIODIVERSITY CONSERVATION
Biodiversity Data Journal Pub Date : 2024-06-24 eCollection Date: 2024-01-01 DOI:10.3897/BDJ.12.e126620
Guangneng Yang, Na Liu, Xu Zhang, Hua Zhou, Yiju Hou, Peng Wu, Xi Zhang
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Abstract

Chimonobambusautilis is a unique edible bamboo species valued for its economic and nutritional benefits. However, its existence in natural habitats is at risk due to environmental shifts and human interventions. This research utilised the maximum entropy model (MaxEnt) to predict potential habitats for Ch.utilis in China, identifying key environmental factors influencing its distribution and analysing changes in suitable habitats under future climate conditions. The results show that the results of the MaxEnt model have high prediction accuracy, with an AUC (Area Under the receiver operating characteristic Curve) value of 0.997. Precipitation in the driest month (Bio14), altitude (Alt) and isothermality (Bio03) emerged as the primary environmental factors influencing the Ch.utilis distribution. Currently, the suitable habitats area for Ch.utilis is 10.55 × 104 km2. Projections for the 2050s and 2090s indicate potential changes in suitable habitats ranging from -3.79% to 10.52%. In general, the most suitable habitat area will decrease and shrink towards higher latitude areas in the future. This study provides a scientific basis for the introduction, cultivation and conservation of Ch.utilis.

基于 MaxEnt 模型预测 Chimonobambusautilis(Poaceae, Bambusoideae)在中国的潜在分布。
Chimonobambusautilis 是一种独特的可食用竹子,具有经济和营养价值。然而,由于环境变化和人为干预,它在自然栖息地的生存面临危险。本研究利用最大熵模型(MaxEnt)预测了箭竹在中国的潜在栖息地,确定了影响其分布的关键环境因素,并分析了未来气候条件下适宜栖息地的变化。结果表明,MaxEnt 模型的预测准确率很高,AUC(接收器工作特征曲线下面积)值为 0.997。最干旱月份的降水量(Bio14)、海拔高度(Alt)和等温线(Bio03)成为影响 Ch.utilis 分布的主要环境因素。目前,Ch.utilis 的适宜栖息地面积为 10.55 × 104 平方公里。对 2050 年代和 2090 年代的预测表明,适宜栖息地的潜在变化范围为-3.79% 到 10.52%。总体而言,未来最适宜的栖息地面积将减少,并向高纬度地区收缩。这项研究为引进、栽培和保护 Ch.utilis 提供了科学依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biodiversity Data Journal
Biodiversity Data Journal Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
2.20
自引率
7.70%
发文量
283
审稿时长
6 weeks
期刊介绍: Biodiversity Data Journal (BDJ) is a community peer-reviewed, open-access, comprehensive online platform, designed to accelerate publishing, dissemination and sharing of biodiversity-related data of any kind. All structural elements of the articles – text, morphological descriptions, occurrences, data tables, etc. – will be treated and stored as DATA, in accordance with the Data Publishing Policies and Guidelines of Pensoft Publishers. The journal will publish papers in biodiversity science containing taxonomic, floristic/faunistic, morphological, genomic, phylogenetic, ecological or environmental data on any taxon of any geological age from any part of the world with no lower or upper limit to manuscript size.
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